Latest AI and machine learning research in health policy for healthcare professionals.
This study aims to comparatively examine the readability, accuracy, and quality of responses provided by artificial intelligence (AI)-based chatbots such as Perplexity, ChatGPT-5, and Gemini to questions about knee osteoarthritis (KOA), which accounts for approximately four-fifths of the global osteoarthritis (OA) burden. In this study, 8 keywords were determined by excluding repetitive, irrelevan...
The contemporary healthcare landscape is experiencing a significant transformation driven by the rapid growth of digital health data and advancements in computational technologies. At the center of this evolution is Machine Learning (ML), a branch of artificial intelligence that enables systems to learn from data, recognize patterns, and support decision-making with minimal human intervention. Thi...
Digital pathology and value-based healthcare (VBHC) are converging to reshape diagnostic medicine, yet the histotechnologist, whose tissue preparation...
Robotic platforms, proprietary registries, and advanced analytics have transformed total joint arthroplasty into a data-intensive subspecialty. Contem...
OBJECTIVES: To map the available evidence on the use of health databases for the early identification of autism spectrum disorder (ASD) across diverse...
The United States (US) healthcare sector leads the world in per capita greenhouse gas emissions, contributing disproportionately to global climate cha...
Snakebite is a serious public health issue that causes a significant amount of morbidity and mortality. This has led the World Health Organization (WH...
BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...
Integration of artificial intelligence chatbots into healthcare requires rigorous, patient-centered evaluation. This study implements the CREATE TRUST...
This review explores current opportunities and challenges across data, health metrics, nutrition science, digital technology and policy in the context...
AIM: To propose an ethical decision-making framework for artificial intelligence (AI) involvement in person-centred fundamental care, organised around...
BACKGROUND: As the core documentation of the clinical diagnosis and treatment process, the quality of medical records is directly related to medical s...
Laboratory medicine is undergoing a profound transformation driven by advances in artificial intelligence (AI), automation, and data interoperability....
The proliferation of hospital surveillance data in China has not been matched by publicly available, machine-readable datasets suitable for artificial...
Greenhouse gases (GHGs) monitoring is essential for mitigating emissions from anthropogenic activities, yet the deployment of high-precision analyzers...
BACKGROUND: Older adults with metabolic dysfunction-associated steatotic liver disease have elevated cardiovascular disease (CVD) risk, yet convention...
Under rapid urbanization, the blue-green space configurations of plain river-network cities are undergoing continuous restructuring, profoundly affect...
The rapid growth of monoclonal antibody (mAb) therapies has increased the need for efficient, scalable, and affordable manufacturing processes. Howeve...
Artificial intelligence (AI) is increasingly embedded in healthcare delivery, and when systems are scaled across clinical workflows, errors may have s...
Artificial Intelligence (AI) bears potential for improving health care, but this depends on the availability of open-access, realistic, and useful dat...